Dana J. Lawrence

149 total papers · 1.3k total citations
72 papers, 890 citations indexed

About

Dana J. Lawrence is a scholar working on General Health Professions, Public Health, Environmental and Occupational Health and Pharmacology. According to data from OpenAlex, Dana J. Lawrence has authored 72 papers receiving a total of 890 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in General Health Professions, 20 papers in Public Health, Environmental and Occupational Health and 14 papers in Pharmacology. Recurrent topics in Dana J. Lawrence's work include Musculoskeletal pain and rehabilitation (14 papers), Innovations in Medical Education (9 papers) and Ethics in medical practice (7 papers). Dana J. Lawrence is often cited by papers focused on Musculoskeletal pain and rehabilitation (14 papers), Innovations in Medical Education (9 papers) and Ethics in medical practice (7 papers). Dana J. Lawrence collaborates with scholars based in United States, United Kingdom and Australia. Dana J. Lawrence's co-authors include William C. Meeker, J. David Cassidy, Christine Goertz, John J. Triano, Gert Brønfort, R.A. Cartwright, Eleanor Kane, Ruth F. Jarrett, R. Douglas Metz and Stephen M. Perle and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Spine.

In The Last Decade

Dana J. Lawrence

64 papers receiving 791 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Dana J. Lawrence	304	244	159	152	135	72	890
Helen Richmond	365 1.2×	96 0.4×	132 0.8×	166 1.1×	64 0.5×	28	901
Cathy Chapple	334 1.1×	112 0.5×	122 0.8×	52 0.3×	64 0.5×	45	1.0k
Tadesse Gebrye	373 1.2×	181 0.7×	68 0.4×	52 0.3×	23 0.2×	49	744
Tülin Düger	302 1.0×	171 0.7×	73 0.5×	30 0.2×	30 0.2×	62	794
Marina de Goés Salvetti	245 0.8×	54 0.2×	160 1.0×	118 0.8×	22 0.2×	88	733
Paula Stern	496 1.6×	291 1.2×	102 0.6×	105 0.7×	39 0.3×	36	919
William G. Boissonnault	463 1.5×	181 0.7×	208 1.3×	142 0.9×	24 0.2×	50	1.0k
Xinliang Liu	202 0.7×	62 0.3×	114 0.7×	137 0.9×	16 0.1×	63	801
Şeyda Toprak Çelenay	299 1.0×	102 0.4×	125 0.8×	35 0.2×	49 0.4×	84	755
David Soave	244 0.8×	89 0.4×	52 0.3×	37 0.2×	36 0.3×	30	785

Countries citing papers authored by Dana J. Lawrence

Since Specialization

Citations

This map shows the geographic impact of Dana J. Lawrence's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Dana J. Lawrence with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dana J. Lawrence more than expected).

Fields of papers citing papers by Dana J. Lawrence

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dana J. Lawrence. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Dana J. Lawrence. The network helps show where Dana J. Lawrence may publish in the future.

Co-authorship network of co-authors of Dana J. Lawrence

This figure shows the co-authorship network connecting the top 25 collaborators of Dana J. Lawrence. A scholar is included among the top collaborators of Dana J. Lawrence based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Dana J. Lawrence. Dana J. Lawrence is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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